US9047872B1ActiveUtility

Automatic speech recognition tuning management

Assignee: WEST CORPPriority: Feb 12, 2007Filed: Mar 13, 2014Granted: Jun 2, 2015
Est. expiryFeb 12, 2027(~0.5 yrs left)· nominal 20-yr term from priority
G10L 15/19G10L 15/26
56
PatentIndex Score
1
Cited by
3
References
9
Claims

Abstract

A method, a non-transitory computer readable medium and a system for automatic speech recognition tuning management that comprises, collecting an utterance, analyzing the utterance, correlating the collected utterance to the utterance analysis, and fetching at least one of, the collected utterance, the utterance analysis, and the correlation of the collected utterance to the utterance analysis.

Claims

exact text as granted — not AI-modified
What is claimed is: 
     
       1. A non-transitory computer readable storage medium comprising instructions for:
 providing at least one option to facilitate transcription of an utterance, wherein providing the at least one option comprises:
 providing a transcription dictionary based upon a context provided by a translation of the utterance; and 
 providing a transcription spelling correction based upon the context provided by the translation of the utterance; 
 
 receiving the transcription of the utterance by a processor; 
 receiving the translation of the utterance by the processor; 
 relating the received utterance to at least one of:
 the utterance transcription; and 
 the utterance translation; 
 
 correlating the transcription of the utterance to the translation of the utterance; 
 providing at least two filters to create the transcription, the at least two filters include a simple filter and an advanced filter; wherein the simple filter is configured to turn the receiving of the utterance on and off; 
 wherein the advanced filter is configured to customize the receiving of the utterance; and 
 fetching at least one of:
 the received utterance; 
 the utterance transcription; 
 the utterance translation; and 
 the relation. 
 
 
     
     
       2. The non-transitory computer readable storage medium of  claim 1  wherein the receiving of the transcription is from a plurality of users. 
     
     
       3. The non-transitory computer readable storage medium of  claim 1  wherein the translation is in at least one of the following formats:
 voice extensible markup language; 
 class; and 
 speech application language tags. 
 
     
     
       4. The non-transitory computer readable storage medium of  claim 1  comprising instructions for providing a textual representation of a prompt a caller responded to while the utterance was received. 
     
     
       5. The non-transitory computer readable storage medium of  claim 1  comprising instructions for sending an instant message based upon the translation to a transcriptionist. 
     
     
       6. The non-transitory computer readable storage medium of  claim 1  comprising instructions for determining a confidence level of the translation based upon the transcription. 
     
     
       7. The non-transitory computer readable storage medium of claim  1  comprising instructions for determining a pathway taken by the received utterance. 
     
     
       8. The non-transitory computer readable storage medium of  claim 1  comprising instructions for reporting a metric pertaining to the transcription of the utterance and the translation of the utterance. 
     
     
       9. A system for automatic speech recognition tuning management comprising:
 a memory; and 
 a processor communicably coupled to the memory, wherein the processor:
 provides at least one option to facilitate transcription of an utterance, wherein providing the at least one option comprises: 
 provides a transcription dictionary based upon a context provided by a translation of the utterance; and 
 provides a transcription spelling correction based upon the context provided by the translation of the utterance; 
 receives the transcription of the utterance; 
 receives the translation of the utterance; 
 correlates the transcription to the translation; 
 utilizes at least two filters to create the transcription, the at least two filters include a simple filter and an advanced filter; 
 wherein the simple filter is configured to turn the transcription of the utterance on and off; and 
 wherein the advanced filter is configured to customize the transcription of the utterance.

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